Senior Software Engineer, AI Infrastructure Solutions
$152k - $242k • Remote • US, CA, Santa Clara
Posted 1d ago
About the job
Join NVIDIA's Modular Diagnostics team and lead AI-powered innovation. Our team develops key diagnostic applications and infrastructure to test every NVIDIA GPU, ensuring flawless performance before launch. As a Senior Software Engineer, AI Infrastructure Solutions, you will build intelligent automation to speed up critical engineering workflows and improve GPU validation speed and quality.
Responsibilities
- Build and deliver agentic AI solutions that automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows.
- Develop scalable AI infrastructure, services, APIs, and reusable platforms for AI-powered application development and deployment.
- Integrate AI agents with engineering tools, knowledge bases, data platforms, and business processes for end-to-end intelligent workflows.
- Collaborate with multi-functional teams to identify use cases, define requirements, develop prototypes, and deploy solutions.
- Establish evaluation, observability, security, and reliability practices for AI systems.
- Drive projects from concept through adoption, measure impact, and continuously improve efficiency.
Requirements
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years delivering production software, infrastructure, platform, or AI solutions.
- Strong programming skills in Python and C/C++.
- Experience building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
- Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure.
- Strong problem-solving, debugging, and system-design skills.
- Effective collaboration and communication skills to drive solutions from idea to production.
Benefits
- Equity
- Benefits